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Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC)
被引:70
作者:
Lippa, Katrice A.
[1
]
Aristizabal-Henao, Juan J.
[2
,3
]
Beger, Richard D.
[4
]
Bowden, John A.
[2
]
Broeckling, Corey
[5
]
Beecher, Chris
[6
]
Clay Davis, W.
[7
]
Dunn, Warwick B.
[8
]
Flores, Roberto
[9
]
Goodacre, Royston
[10
]
Gouveia, Goncalo J.
[11
]
Harms, Amy C.
[12
]
Hartung, Thomas
[13
]
Jones, Christina M.
[1
]
Lewis, Matthew R.
[14
]
Ntai, Ioanna
[15
]
Percy, Andrew J.
[16
]
Raftery, Dan
[17
]
Schock, Tracey B.
[7
]
Sun, Jinchun
[4
]
Theodoridis, Georgios
[18
]
Tayyari, Fariba
[19
]
Torta, Federico
[20
]
Ulmer, Candice Z.
[21
]
Wilson, Ian
[22
]
Ubhi, Baljit K.
[23
]
机构:
[1] Natl Inst Stand & Technol NIST, Chem Sci Div, Gaithersburg, MD 20899 USA
[2] Univ Florida, Coll Vet Med, Dept Physiol Sci, Ctr Environm & Human Toxicol, Gainesville, FL 32610 USA
[3] BERG LLC, 500 Old Connecticut Path,Bldg B,3rd Floor, Framingham, MA 01710 USA
[4] US FDA, Div Syst Biol, Natl Ctr Toxicol Res, Jefferson, AR 72079 USA
[5] Colorado State Univ, Analyt Resources Core Bioanal & Om Ctr, Ft Collins, CO 80523 USA
[6] IROA Technol, Chapel Hill, NC 27517 USA
[7] Natl Inst Stand & Technol NIST, Chem Sci Div, Charleston, SC 29412 USA
[8] Univ Birmingham, Inst Metab & Syst, Sch Biosci, Res & Phenome Ctr Birmingham, Birmingham B152TT, W Midlands, England
[9] Natl Inst Hlth NIH, Off Nutr Res, Div Program Coordinat Planning & Strateg Initiat, Off Director, Bethesda, MD 20892 USA
[10] Univ Liverpool, Inst Syst Mol & Integrat Biol, Dept Biochem & Syst Biol, BioSci Bldg,Crown St, Liverpool L69 7ZB, Merseyside, England
[11] Univ Georgia, Dept Biochem & Mol Biol, Athens, GA 30602 USA
[12] Leiden Univ, Biomed Metabol Facil Leiden, Einsteinweg 55, NL-2333 CC Leiden, Netherlands
[13] Johns Hopkins Univ, Bloomberg Sch Publ Hlth Environm Hlth & Engn, Baltimore, MD 21205 USA
[14] Imperial Coll London, Natl Phenome Ctr, London SW7 2AZ, England
[15] Thermo Fisher Sci, San Jose, CA 95134 USA
[16] Cambridge Isotope Labs Inc, Tewksbury, MA 01876 USA
[17] Univ Washington, Northwest Metabol Res Ctr, Seattle, WA 98109 USA
[18] Aristotle Univ Thessaloniki, Dept Chem, Thessaloniki 54124, Greece
[19] Univ Iowa, Dept Internal Med, Iowa City, IA 52242 USA
[20] Natl Univ Singapore, Ctr Life Sci, 28 Med Dr, Singapore 117456, Singapore
[21] Ctr Dis Control & Prevent CDC, Atlanta, GA 30341 USA
[22] Imperial Coll, Computat & Syst Med, Exhibit Rd, London SW7 2AZ, England
[23] MOBILion Syst Inc, 4 Hillman Dr,Suite 130, Chadds Ford, PA 19317 USA
基金:
美国国家卫生研究院;
关键词:
Reference materials;
Certified reference materials;
Internal standards;
Untargeted analysis;
Mass spectrometry;
Metabolomics;
Lipidomics;
Metabolomics quality assurance and quality control consortium (mQACC);
PERFORMANCE LIQUID-CHROMATOGRAPHY;
STANDARD REFERENCE MATERIAL;
HUMAN PLASMA;
LC-MS;
GC-MS;
DAY REPRODUCIBILITY;
MULTI-OMICS;
HPLC-MS;
LIPIDS;
QUANTIFICATION;
D O I:
10.1007/s11306-021-01848-6
中图分类号:
R5 [内科学];
学科分类号:
1002 ;
100201 ;
摘要:
Introduction The metabolomics quality assurance and quality control consortium (mQACC) is enabling the identification, development, prioritization, and promotion of suitable reference materials (RMs) to be used in quality assurance (QA) and quality control (QC) for untargeted metabolomics research. Objectives This review aims to highlight current RMs, and methodologies used within untargeted metabolomics and lipidomics communities to ensure standardization of results obtained from data analysis, interpretation and cross-study, and cross-laboratory comparisons. The essence of the aims is also applicable to other 'omics areas that generate high dimensional data. Results The potential for game-changing biochemical discoveries through mass spectrometry-based (MS) untargeted metabolomics and lipidomics are predicated on the evolution of more confident qualitative (and eventually quantitative) results from research laboratories. RMs are thus critical QC tools to be able to assure standardization, comparability, repeatability and reproducibility for untargeted data analysis, interpretation, to compare data within and across studies and across multiple laboratories. Standard operating procedures (SOPs) that promote, describe and exemplify the use of RMs will also improve QC for the metabolomics and lipidomics communities. Conclusions The application of RMs described in this review may significantly improve data quality to support metabolomics and lipidomics research. The continued development and deployment of new RMs, together with interlaboratory studies and educational outreach and training, will further promote sound QA practices in the community.
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页数:29
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